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description= Create a managed instance group (MIG) based on the properties of an existing Compute Engine VM instance.;
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est sql server using hammerdb redis deployment options for redis on google cloud containers containers on compute engine deploy containers on vms and managed instance groups configure options to run your container transition from the container startup agent prepare for the shutdown of the container startup agent prevent the creation of vms that use the container metadata migrate containers that were deployed on vms during vm creation openshift workloads openshift on google cloud overview plan for openshift on google cloud overview of cluster services for openshift automatic configuration validation for openshift clusters built in integrations for openshift best practices for high availability with openshift disaster recovery for openshift on google cloud disaster recovery strategies for active passive and active inactive setups with openshift microsoft windows windows workloads best practices for windows server vms setting up active directory best practices for running active directory on google cloud deploy microsoft sharepoint server on compute engine deploying microsoft exchange server 2016 on compute engine windows server perform an in place upgrade of windows server run windows server failover clustering ibm spectrum symphony integrate ibm spectrum symphony with google cloud install the compute engine symphony provider install the google kubernetes symphony provider troubleshoot ibm spectrum symphony others load testing distributed load testing using kubernetes ssh port forwarding and load testing analytics monte carlo methods using apache spark machine learning run tensorflow inference workloads with tensorrt5 and nvidia t4 gpu monitor monitor logs view audit logs view usage reports view compute engine operations migrate from activity logs to audit logs view activity logs monitor resources monitor vm and sole tenant node usage observe and monitor vms monitor gpu performance monitor gpu performance on linux vms monitor gpu performance on windows vms monitor disks monitor disk health monitor the replica states of regional disks monitor disks list of metrics for pools monitor pools monitor reservations organize resources using labels scale autoscale groups of vms about autoscaling groups of vms create and manage autoscalers scale based on cpu utilization scale based on predictions scale based on load balancing serving capacity scale based on monitoring metrics scale based on schedules use an autoscaling policy with multiple signals manage autoscalers understand autoscaler decisions view autoscaler logs autoscale node groups reserve vm capacity choose a reservation type sharing reservations best practices for shared reservations allow a project to share reservations on demand reservations about on demand reservations create an on demand reservation for a single project for multiple projects combine an on demand reservation with a cud modify an on demand reservation delete an on demand reservation future reservations about future reservations create a reservation request for a single project for multiple projects modify a reservation request delete a reservation request future reservations in calendar mode about future reservations in calendar mode create a reservation request in calendar mode delete a reservation request in calendar mode view reservations or reservation requests consume a reservation prevent vms from consuming reservations load balancing about load balancing and scaling add an instance group to a load balancer request routing to a multi region external https load balancer cross region load balancing for microsoft iis backends set up internal tcp udp load balancing build reliable and scalable applications use autohealing for highly available applications use load balancing for highly available applications use autoscaling for highly scalable applications globally autoscale a web service on compute engine patterns for scalable and resilient applications patterns for using floating ip addresses on compute engine optimize resource utilization use recommendations to manage resources apply machine type recommendations to vms configure machine type recommendations apply machine type recommendations to migs view and apply idle resources recommendations view and understand vm insights view and understand mig insights manage idle vm recommendations idle vm recommendations overview view and apply idle vm recommendations configure idle vm recommendations manage reservation recommendations reservation recommendations overview view and apply idle reservation recommendations view and apply underutilized reservation recommendations configure idle reservation recommendations configure underutilized reservation recommendations overcommit cpus on sole tenant vms manual live migration about manual live migration manually live migrate vms share sole tenant node groups next generation dynamic resource management cost savings get discounts for committed usage about commitments and committed use discounts cuds resource based cuds purchase resource based commitments without attached reservations with attached reservations for os licenses manage resource based commitments renew commitments automatically extend commitment terms merge and split commitments upgrade commitments share resource based cuds across projects get discounts for sustained usage disk performance optimize hyperdisk performance optimize persistent disk performance optimize local ssd performance workload performance set the number of threads per core customize the number of visible cpu cores analyze the cpu performance using the pmu pmu overview enable the pmu in vms manage the pmu in vms network performance network bandwidth use google virtual nic use irdma network driver use idpf network interface configure a vm with higher bandwidth reduce latency by using compact placement policies optimize tcp network communication optimize tcp network performance optimize tcp network resiliency benchmark higher bandwidth vms optimize app latency with load balancing use dpdk to improve network performance network performance and gpu vms networking and gpu machines use higher network bandwidth patterns for using multiple host nics troubleshoot general tips troubleshoot connectivity troubleshoot rdp troubleshoot ssh troubleshoot os login troubleshoot vms troubleshoot vm operations troubleshoot vm creation troubleshoot resource availability errors troubleshoot bulk api vm creation troubleshoot vm reboots and shutdowns troubleshoot vm suspension troubleshoot vm updates troubleshoot unresponsive vms troubleshoot vm startup troubleshoot fstab errors troubleshoot kernel panic collecting core dumps rescue an inaccessible vm troubleshoot cpu bus locks troubleshoot cpu soft lockups troubleshoot vm configurations troubleshoot arm vms troubleshoot gpu vms troubleshoot nvidia gpu errors generate a nvidia bug report for blackwell gpus troubleshoot nested virtualization troubleshoot using vm screenshots troubleshoot sole tenant nodes troubleshoot vm performance issues troubleshoot sudoers files troubleshoot windows vms troubleshoot windows vms collecting diagnostic information troubleshoot using the serial console troubleshoot using the serial console viewing serial port output troubleshoot instance groups troubleshoot managed instance groups migs troubleshoot os management troubleshoot licenses troubleshoot image import and export troubleshooting sles pay as you go registration troubleshooting ubuntu pro registration troubleshoot metadata server troubleshoot metadata server troubleshoot networking issues troubleshoot common networking issues troubleshoot network drivers troubleshoot vm performance issues troubleshoot storage troubleshoot disk creation troubleshoot full disks and disk resizing troubleshoot disk encryption troubleshoot nvme disks troubleshoot instant snapshots troubleshoot standard snapshots troubleshoot reservations and commitments troubleshoot reservation creation troubleshoot reservation consumption troubleshooting reservation monitoring troubleshoot reservation updates troubleshoot future reservation creation and updates troubleshoot automatic commitment renewal troubleshoot quota errors troubleshoot concurrent operation quota errors troubleshoot workload authentication troubleshoot default service accounts troubleshoot workload to workload authentication ai and ml application development application hosting compute data analytics and pipelines databases distributed hybrid and multicloud industry solutions migration networking observability and monitoring security storage access and resources management costs and usage management infrastructure as code sdk languages frameworks and tools home documentation compute compute engine guides send feedback create a mig from an existing vm stay organized with collections save and categorize content based on your preferences this document explains how to create a regional or zonal managed instance group mig from an existing virtual machine vm instance by creating a mig you can scale the service running on a single vm across multiple vms and manage them as a single entity migs are useful to make your workloads highly available and scalable for more information see the benefits of using a mig before you begin if you haven t already create and start a vm limitations the following limitations apply when you create a mig from an existing vm the mig doesn t add the existing vm to the mig the vm continues to exist as a standalone vm you can t create stateful migs from an existing vm create a mig from an existing vm you can create a mig from an existing vm that is running stopped or suspended creating a mig from an existing vm involves the configuration of the following an instance template which compute engine uses to define the properties of the vms in the mig by default the instance template specifies the following the same properties of the existing vm except for the existing vm s ip addresses an option to create a custom boot disk image from the existing vm s boot disk additionally if the existing vm uses non boot disks compute engine does the following as applicable for any local ssd that is attached to the existing vm compute engine creates a blank local ssd disk for any persistent disk in read write mode that is attached to the existing vm compute engine creates a custom persistent disk image from the existing vm s persistent disk image for any persistent disk in read only mode that is attached to the existing vm the same disk is included in the instance template optionally you can customize the disks and properties of the instance template the mig which uses the instance template you configured in the previous step by default the mig is a zonal mig that specifies the following autoscaling is disabled one vm in the group the same zone where the existing vm is located optionally you can customize the properties of the mig caution if you create a mig from a running or suspended vm and you choose to create disk images using that vm s disks then you must prepare the vm otherwise compute engine might create corrupted disk images permissions required for this task to perform this task you must have the following permissions to create an image compute images create on the project to create an instance template compute instancetemplates create on the project to create a regional mig compute regioninstancegroupmanagers create on the project to create a zonal mig compute instancegroupmanagers create on the project to create a mig from an existing vm follow these steps in the google cloud console go to the vm instances page go to vm instances select the vm that you want to use to create the mig click create a group based on this vm the scale to instance group page opens in the instance template properties section do the following in the name field use the default name or enter a name for the instance template in the disks section do the following boot disk by default compute engine generates a new custom image of the vm boot disk if you want to use an existing disk instead click edit edit boot disk you can select a public image or an existing custom image to attach to the vms in the mig existing disk applicable only if your vm has a read only disk optionally you can do one of the following to customize any attachment settings of the read only disk click edit edit disk to remove the disk click close remove disk new disk applicable only if your vm has a read write disk by default compute engine creates a new custom disk image optionally you can do one of the following to use an existing disk or modify the disk settings click edit edit disk to remove the disk click close remove disk if the existing vm is running or suspended and you have specified to attach new boot or non boot disks that use the vm s disk images as sources the on image generation section appears then you must select one of following options if you want to maintain the file system s integrity while generating an image from the vm disk stop the vm by selecting stop the vm you can restart the vm after the mig is created until then your service is interrupted if you do not want interruption to your service and the file system s integrity is not a concern select keep the vm running to further customize the instance template used to define the properties of the vms in the mig click settings customize instance template and modify the fields as needed for more information see create instance templates in the instance group properties section do the following in the name field use the default name or enter a name for the mig in the location section you can choose to create a regional or zonal mig by doing one of the following to create a regional mig follow these steps select multiple zones in the region list select a region where to create the vms in the mig in the zones list select the zones where to create the vms in the mig to create a zonal mig follow these steps select single zone default in the region list select a region where to create the vms in the mig by default the region where the original vm exists is selected in the zone list select a zone where to create the vms for the mig by default the zone where the original vm exists is selected to further specify the mig settings for example to specify the number of vms click settings configure instance group for more information see how to create a regional or zonal mig after you ve finished customizing the instance template and the mig click create group if your vm is running and you specified to stop the vm in the previous steps click stop vm and create group the instance groups page opens creating the instance template and the mig might take a few minutes to complete what s next learn how to update vm configurations in a mig learn how to autoscale groups of vms learn more about different configuration options available in a mig learn more about building scalable and resilient web applications learn more about dis...
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